diff --git a/labs06/barPlot.png b/labs06/barPlot.png
new file mode 100644
index 0000000..f747602
Binary files /dev/null and b/labs06/barPlot.png differ
diff --git a/labs06/task02.py b/labs06/task02.py
index 9d96016..3e205b8 100755
--- a/labs06/task02.py
+++ b/labs06/task02.py
@@ -1,14 +1,18 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
-
+import pandas as pd
 def wczytaj_dane():
-    pass
+    mieszkania = pd.read_csv('mieszkania.csv',  # ścieżka  do pliku
+                            sep=',',  # separator
+                            encoding='UTF-8',
+                            usecols=[0,1,2,3,4,5,6])
+    return mieszkania
 
 def most_common_room_number(dane):
-    pass
+    return dane.mode(numeric_only =True)["Rooms"][0]
 
 def cheapest_flats(dane, n):
-    pass
+    return dane.sort_values("Expected")[:n]
 
 def find_borough(desc):
     dzielnice = ['Stare Miasto',
@@ -19,36 +23,41 @@ def find_borough(desc):
                  'Winogrady',
                  'Miłostowo',
                  'Dębiec']
-    pass
+    inputList=desc.split(' ')
+    for i in inputList:
+        if i in dzielnice:
+            return i
+            break
+    return "Inne"
 
 
 def add_borough(dane):
-    pass
+    newcol=dane["Location"].apply(find_borough)
+    dane["Borough"]=newcol
+    return dane
 
 def write_plot(dane, filename):
-    pass
+    bar=dane["Borough"].value_counts().plot(kind="bar", figsize=(6,6))
+    fig=bar.get_figure()
+    fig.savefig(filename)
 
 def mean_price(dane, room_number):
-    pass
+    return dane[dane["Rooms"]==room_number]["Expected"].mean()
 
 def find_13(dane):
-    pass
+    return dane[dane["Floor"]==13]["Borough"].unique()
 
 def find_best_flats(dane):
-    pass
+    return dane[(dane["Borough"]=="Winogrady") & (dane["Floor"]==1) & (dane["Rooms"]==3)]
 
 def main():
     dane = wczytaj_dane()
     print(dane[:5])
-
     print("Najpopularniejsza liczba pokoi w mieszkaniu to: {}"
           .format(most_common_room_number(dane)))
-
     print("{} to najłądniejsza dzielnica w Poznaniu."
-          .format(find_borough("Grunwald i Jeżyce"))))
-
+          .format(find_borough("Grunwald i Jeżyce")))
     print("Średnia cena mieszkania 3-pokojowego, to: {}"
           .format(mean_price(dane, 3)))
-
 if __name__ == "__main__":
     main()